Jupiter conducted a token burn of approximately 130 million JUP yesterday in response to a suggestion from the community to shorten the unstaking period to 7 days.
BlockBeats News, November 26th, Jupiter's official announcement on social media stated that it has completed the second phase of the JUP "Fresh Start" plan. This phase aims to strategically realign JUP with the platform's vision of bringing billions of users into DeFi, deepening community ecosystem collaboration, and tokenomics.
The "Fresh Start" is essentially to chart a more strategic development path for JUP. Through a deep reflection on the governance issues and drawbacks brought by DAO engagement, we realized that these factors were diluting team and community focus on core work. The second phase focuses on a vote to burn approximately 130 million JUP in the Litterbox. Today, we officially executed this burn plan and responded to holder suggestions to shorten the unstaking period to 7 days.
Looking ahead, Jupiter will advance the Jupuary plan with strategic thinking, widely incorporating various opinions. The designed solutions will significantly reduce the initial release amount, enhance alignment of interests for airdrop holders, and focus on accelerating the core platform's decentralized vision. For the ongoing 50% protocol revenue flowing into the Litterbox, Jupiter will continue to explore optimal allocation strategies. Meanwhile, it continues to explore new paths to integrate JUP into the product matrix—currently, JUP has been integrated into the validation system and Metis Binary mechanism, with the next step being achieving more sophisticated token integration in the new platform.
You may also like
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Crypto_Trade shows how structured inputs and controlled adaptability can build a more stable and reliable AI crypto trading bot within the WEEX AI Trading Hackathon, highlighting a practical path toward scalable AI trading systems.

AI Starts to Devour the Manufacturing Industry | Rewire News Morning Edition

When Scaling Meets Speed, Ethereum Foundation Introduces "Hardness" to Safeguard the Base Layer

Google, Circle, Stripe Flock Together to Let AI Spend Money: Payment Giants' Joys and Worries in 2026 Q1

$100 Billion Factory Purchase: Bezos and Middle Eastern Capital Shift AI Money from Cloud to Shop Floor

Xiaomi and MiniMax both unleash their ultimate moves, signaling the start of the Agent Pricing War.

Predicting markets has taken the spotlight, but the Perp DEX has been quietly waging war on traditional exchanges.

Is the Market Slump Still Making Millions a Day? Is pump.fun's Revenue Real?

Understanding x402 and MPP in One Article: The Two Paths of Agent Payments

Quick Look at the Latest 18 Graduation Projects from Alliance: Who's the Next Pump.fun?

It's not just the prediction market that profits from the Iraq War

The "bank card" of AI has caught the attention of the giants

Morning News | U.S. SEC approves tokenized trading on Nasdaq; Animoca Brands announces investment in AVAX tokens; Algorand Foundation completes strategic integration

$70 trillion wealth transfer, the financial gateway is being rewritten | Interview with Robinhood CEO Vlad Tenev

Whale Opens 20x Oil Short on Hyperliquid With 5.6M USDC at Risk
Key Takeaways A significant leveraged short position on crude oil has been initiated on Hyperliquid using 5.6 million…

Bitcoin: The Ultimate Hedge Against Chaos
Key Takeaways Michael Saylor, co-founder of Strategy, firmly believes Bitcoin is the ultimate hedge against macroeconomic chaos. Strategy…

“Set 10 Major Targets First,” Whale Reopens Long Positions in Bitcoin
Key Takeaways A prominent cryptocurrency whale known as @Jason60704294 has reopened a long position in Bitcoin. The whale…

Analysis: Despite Bitcoin’s Price Dip, Bullish Trends Persist
Key Takeaways Despite Bitcoin’s decline below $71,000, its bullish momentum remains strong, with significant buying activity from ETFs…
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Crypto_Trade shows how structured inputs and controlled adaptability can build a more stable and reliable AI crypto trading bot within the WEEX AI Trading Hackathon, highlighting a practical path toward scalable AI trading systems.